CN109359203A - The processing method and processing device of motion profile video - Google Patents
The processing method and processing device of motion profile video Download PDFInfo
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- CN109359203A CN109359203A CN201811110579.1A CN201811110579A CN109359203A CN 109359203 A CN109359203 A CN 109359203A CN 201811110579 A CN201811110579 A CN 201811110579A CN 109359203 A CN109359203 A CN 109359203A
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- motion profile
- target object
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/265—Mixing
Abstract
The invention discloses a kind of processing method and processing devices of motion profile video.Wherein, this method comprises: generating motion profile according to the exercise data of target object；By motion profile converting motion track video, wherein motion profile video on predetermined map for showing the motion profile of target object；Determine characteristic corresponding with target object, wherein characteristic includes at least one of: the characteristic point in music, exercise data；Characteristic is added in motion profile video.The present invention solves the technical problem that the motion profile video generated in the related technology based on moving user data is relatively simple, causes the experience of user lower.
Description
Technical field
The present invention relates to field of computer technology, in particular to the processing method and dress of a kind of motion profile video
It sets.
Background technique
Currently, many apply the exercise data that moving user can be automatically stored in user movement for movement, and deposit
These exercise datas of storage are only performing corresponding processing and then are showing moving user, could make moving user can
More intuitively to know the situation of displacement.Therefore, in order to enable moving user can more intuitively obtain itself fortune
Dynamic situation, extracts the motion profile of user from the user movement data of moving user in the related technology, and generates motion profile
Video.However, the motion profile video extracted from user movement data in the related technology is relatively simple, and do not include
The content that vision or experience acoustically can be brought to moving user, so that user experience is lower.
It is relatively simple for the above-mentioned motion profile video in the related technology based on the generation of moving user data, lead to user
The lower problem of experience, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of processing method and processing devices of motion profile video, at least to solve the relevant technologies
In the motion profile video that is generated based on moving user data it is relatively simple, lead to the lower technical problem of experience of user.
According to an aspect of an embodiment of the present invention, a kind of processing method of motion profile video is provided, comprising: according to
The exercise data of target object generates motion profile；By the motion profile converting motion track video, wherein the movement rail
Mark video is used to show the motion profile of the target object on predetermined map；Determine feature corresponding with the target object
Data, wherein the characteristic includes at least one of: the characteristic point in music, the exercise data；By the feature
Data are added in the motion profile video.
Optionally, it includes: more in the extraction exercise data for generating motion profile according to the exercise data of target object
A anchor point, wherein the multiple anchor point is obtained according to positioning device；The multiple anchor point is analyzed, is obtained
It is fixed to the interference positioning in the multiple anchor point；The interference is positioned into point deletion, obtains effective position point；Had according to described
It imitates anchor point and generates the motion profile.
Optionally it is determined that music corresponding with the target object comprises determining that the reference data of the target object,
In, the reference data is used for as the foundation for obtaining the music being added in the motion profile video；By Matching Model,
Obtain music corresponding with the reference data, wherein the Matching Model is to pass through machine learning training using multi-group data
It obtains, every group of data in the multi-group data include: reference data music corresponding with the reference data.
Optionally it is determined that music corresponding with the target object includes: to receive the music spy of the target object input
Levy data；The corresponding music of the target object is obtained according to the musical features data.
Optionally, in the case where the characteristic is music, the characteristic is added to the motion profile
It include: to obtain the corresponding audio file of the music in video；Extract the corresponding pure video file of the motion profile video；Base
The audio file is added in the pure video file in multimedia video processing mode.
Optionally, the characteristic point includes at least one of: the movement peak value in the exercise data of the target object
And the corresponding first node of movement peak value, the exercise data of the target object are more than the history of the target object itself
It moves the second node of peak value, wherein the movement peak value and the historical movement peak value include at least one of: moving
Time peak value, exercise intensity peak value, the historical movement peak value are historical movement of the target object in historical time section
Movement peak value in data.
Optionally, after the characteristic point in the determining exercise data with the target object, the motion profile video
Processing method further include: the attribute based on characteristic point in the exercise data generates icon；The icon is shown in the spy
On the sign corresponding first node of point and/or the second node.
Another aspect according to an embodiment of the present invention, additionally provides a kind of processing unit of motion profile video, wraps
It includes: the first generation unit, for generating motion profile according to the exercise data of target object；Converting unit is used for the fortune
Dynamic rail mark converting motion track video, wherein the motion profile video on predetermined map for showing the target object
Motion profile；Determination unit, for determining characteristic corresponding with the target object, wherein the characteristic packet
Include at least one of: the characteristic point in music, the exercise data；Adding unit, for the characteristic to be added to
In the motion profile video.
Optionally, first generation unit includes: the first extraction module, multiple in the exercise data for extracting
Anchor point, wherein the multiple anchor point is obtained according to positioning device；First obtains module, for the multiple fixed
Site is analyzed, and the interference positioning obtained in the multiple anchor point is fixed；Removing module, for deleting the interference anchor point
It removes, obtains effective position point；Generation module, for generating the motion profile according to the effective position point.
Optionally, the determination unit includes: the first determining module, for determining the reference data of the target object,
Wherein, the reference data is used for as the foundation for obtaining the music being added in the motion profile video；Second obtains mould
Block, for obtaining music corresponding with the reference data by Matching Model, wherein the Matching Model is to use multiple groups
Data are obtained by machine learning training, and every group of data in the multi-group data include: reference data and the reference number
According to corresponding music.
Optionally, the determination unit includes: receiving unit, for receiving the musical features number of the target object input
According to；Third obtains module, for obtaining the corresponding music of the target object according to the musical features data.
Optionally, the adding unit includes: the 4th acquisition module, for the case where the characteristic is music
Under, obtain the corresponding audio file of the music；Second extraction module, for extracting the corresponding pure view of the motion profile video
Frequency file；Adding module, for the audio file to be added to the pure video file based on multimedia video processing mode
In.
Optionally, the characteristic point includes at least one of: the movement peak value in the exercise data of the target object
And the corresponding first node of movement peak value, the exercise data of the target object are more than the history of the target object itself
It moves the second node of peak value, wherein the movement peak value and the historical movement peak value include at least one of: moving
Time peak value, exercise intensity peak value, the historical movement peak value are historical movement of the target object in historical time section
Movement peak value in data.
Optionally, the processing unit of the motion profile video further include: the second generation unit, in the determining and mesh
After marking the characteristic point in the exercise data of object, the attribute based on characteristic point in the exercise data generates icon；It shows single
Member, for showing the icon in the corresponding first node of the characteristic point and/or the second node.
Another aspect according to an embodiment of the present invention, additionally provides a kind of storage medium, the storage medium includes
The program of storage, wherein described program execute it is any one of above-mentioned described in motion profile video processing method.
Another aspect according to an embodiment of the present invention, additionally provides a kind of processor, the processor is for running
Program, wherein described program run when execute it is any one of above-mentioned described in motion profile video processing method.
In embodiments of the present invention, motion profile is generated using according to the exercise data of target object；Motion profile is turned
Change motion profile video, wherein motion profile video on predetermined map for showing the motion profile of target object；Determine with
The corresponding characteristic of target object, wherein characteristic includes at least one of: the characteristic point in music, exercise data；
Characteristic is added in motion profile video, the processing method of the motion profile video provided through the embodiment of the present invention can
After generating motion profile video now according to the exercise data of moving user with reality, determine in the exercise data of the moving user
Characteristic point and the music etc. preferred of the moving user, and the purpose being added in motion profile video reaches
To moving user vision and the technical effect of the intuitional and experiential thinking acoustically, and then solves and used in the related technology based on movement
The motion profile video that user data generates is relatively simple, and the technical problem for causing the experience of user lower, the user experience is improved.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of the processing method of motion profile video according to an embodiment of the present invention；
Fig. 2 is the schematic diagram of the processing unit of motion profile video according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
Embodiment 1
According to embodiments of the present invention, a kind of embodiment of the method for the processing method of motion profile video is provided, is needed
Bright, step shown in the flowchart of the accompanying drawings can be held in a computer system such as a set of computer executable instructions
Row, although also, logical order is shown in flow charts, and it in some cases, can be to be different from sequence herein
Execute shown or described step.
Fig. 1 is the flow chart of the processing method of motion profile video according to an embodiment of the present invention, as shown in Figure 1, the fortune
The processing method of dynamic track video includes the following steps:
Step S102 generates motion profile according to the exercise data of target object.Wherein, goal object is movement
User.
In step s 102, it can use the exercise data of data acquisition equipment acquisition target object, wherein the data are adopted
Collection equipment can be in intelligent terminal (for example, mobile phone) built-in various kinds of sensors, for example, can use in intelligent terminal when
Clock equipment records the movement time started, movement end time, movement duration of target object, during the motion state change
Time and the state change duration etc.；The target object carry out be running or walking class sports events
When, it can use global position system GPS and the motion path of target object recorded, it specifically, can be in real time to target
The motion path of object is positioned, and multiple anchor points are obtained；And it can use step-counting sensor or acceleration transducer system
Count the movement step number etc. of target object.
It should be noted that the exercise data mode for obtaining target object can include but is not limited to the above concrete mode,
It may include the mode that other can be implemented.
In an alternative embodiment, it in above-mentioned steps S102, is generated and is moved according to the exercise data of target object
Track may include: the multiple anchor points extracted in exercise data, wherein multiple anchor points are obtained according to positioning device；
Multiple anchor points are analyzed, the interference positioning obtained in multiple anchor points is fixed；Interference is positioned into point deletion, it is effectively fixed to obtain
Site；Motion profile is generated according to effective position point.Specifically, above-mentioned interference anchor point can be is overlapped in multiple anchor points
Distance is less than the anchor point of preset distance in anchor point or multiple anchor points.
It should be noted that the individual privacy in order to guarantee moving user, can be handled: one in terms of following two
Aspect need to ensure that the exercise data chosen is the disclosed fortune of target object before extracting multiple anchor points in exercise data
Dynamic data；Another aspect can will in the case where whether the attribute of the exercise data of uncertain target object is disclosed situation
The attribute of the motion profile generated according to exercise data is configured, for example, the attribute of the motion profile of generation can be arranged
For only target object itself as it can be seen that alternatively, the object that target object is specified is as it can be seen that target object can be the movement generated certainly
Verification information is arranged in track, and the object being only verified is visible.
Step S104, by motion profile converting motion track video, wherein motion profile video is used in predetermined map
Show the motion profile of target object.
In step S104, motion profile, which is converted to motion profile video, be can be using Video editing software to movement
Track is handled, and to obtain motion profile video, in embodiments of the present invention, is not done specifically to the type of Video editing software
It limits.
Step S106 determines characteristic corresponding with target object, wherein characteristic includes at least one of:
Characteristic point in music, exercise data.
For example, in order to enable the motion profile video obtained after turning can provide more intuitive and be had for target object
The experience of significant meaning, can for determine target object exercise data in characteristic point, for example, movement most value (for example,
Longest distance, maximum duration etc.), and the music that target object is preferred is determined according to the habit of target object.
Characteristic is added in motion profile video by step S108.
Through the above steps, motion profile can be generated according to the exercise data of target object first；Then rail will be moved
Mark converting motion track video, wherein motion profile video on predetermined map for showing the motion profile of target object；Again
Determine characteristic corresponding with target object, wherein characteristic includes at least one of: in music, exercise data
Characteristic point；And characteristic is added in motion profile video.Relative in the related technology according to the extraction of user movement data
Motion profile video out is relatively simple, and does not include and some can bring the sense of hearing or visual etc. more straight to moving user
The content of the experience of sight, so that the drawback that the experience of moving user is lower, the motion profile view provided through the embodiment of the present invention
The processing method of frequency may be implemented after generating motion profile video according to the exercise data of moving user, determine that the movement is used
The music etc. that characteristic point and the moving user in the exercise data at family are preferred, and it is added to motion profile video
In purpose, reached the technical effect to moving user vision and the intuitional and experiential thinking acoustically, and then solve related skill
Motion profile video based on the generation of moving user data in art is relatively simple, the technical problem for causing the experience of user lower,
The user experience is improved.
Firstly, being illustrated using above-mentioned characteristic as music.Wherein it is possible to receive target correspondence from intelligent terminal
Instruction after Auto-matching obtain the music that target object compares favor, and passive music two for receiving target object recognition
Aspect is illustrated.
On one side, determine that music corresponding with target object may include: the reference data of determining target object,
In, reference data is used for as the foundation for obtaining the music being added in motion profile video；By Matching Model, obtains and join
Examine the corresponding music of data, wherein Matching Model is obtained using multi-group data by machine learning training, in multi-group data
Every group of data include: reference data music corresponding with the reference data.
For example, in the case where receiving the instruction of target object, intelligent terminal can be according to target object at certain section
The music that interior selection plays, determines path corresponding to the music, according to determining path in music list catalogue (or music
Library) in select the music.
Another aspect determines that music corresponding with target object may include: to receive the music of target object input
Characteristic；The corresponding music of target object is obtained according to musical features data.For example, generating motion profile view in intelligent terminal
Frequently, and receive target object music addition request after, the musical features data of the music can be inputted in predetermined position
(for example, the title of the music, singer, part lyrics etc.), intelligent terminal can be according to the musical features data in music libraries
It scans for obtain the music.
Preferably, in the case where characteristic is music, characteristic, which is added in motion profile video, be can wrap
It includes: obtaining the corresponding audio file of music；Extract the corresponding pure video file of motion profile video；Based on multimedia video processing
Audio file is added in pure video file by mode.Since the motion profile video for motion profile generation of being eager itself may be just
It can be to movement rail in order to not influence the overall effect that music obtains after being mixed with motion profile video with audio
Mark video is parsed, and obtains pure audio files and pure video file, then music object audio file is added to pure video text
In part.Wherein, above-mentioned multimedia video processing mode can choose multimedia video handling implement FFMPEG (Fast Forward
Mpeg, abbreviation FFMPEG), FFMPEG be it is a set of can be used to record, converted digital audio, video, and stream can be translated into
Open source computer program.It has the function of it is very powerful, specifically include: video acquisition function, video format conversion, view
Frequency grabgraf, to video with watermark etc..In addition, FFMPEG includes multiple command sets, manageable task be also it is more multiple,
Can support multiple format (for example, it can support the multiple formats such as ASF, AVI, FLV) and agreement (for example, HTTP,
RTP, TCP, UDP etc.).
As a kind of optional embodiment, the characteristic point in the embodiment of the present invention may include at least one of: target
Movement peak value and the corresponding first node of movement peak value, the exercise data of target object in the exercise data of object are more than
The second node of the historical movement peak value of target object itself, wherein movement peak value and historical movement peak value include with down toward
One of few: run duration peak value, exercise intensity peak value, historical movement peak value are history fortune of the target object in historical time section
Movement peak value in dynamic data.
For example, the running type games that this is carried out in target object, features described above point may include: what target object was run
Longest distance, the corresponding duration of the maximum duration；This running be more than historical time section in carry out running type games longest away from
Node from (or maximum duration), with a distance from this running with longest distance that running type games are carried out in above-mentioned historical time section
The difference etc. of (or maximum duration).
In addition, in an optional embodiment of the present invention, it, can be to this after obtaining the motion profile of target object
Motion profile is analyzed, and the prime of this road-work of target object is obtained, which can be target object
Cadence coordination compared with breathing part, be also possible to other running the higher part of quality.
In another example the target pair can be shown on predetermined map when the exercise data of target object meets predetermined condition
This movement of elephant it is similar with which sports events (for example, 5 kilometers hurry up, 10 kilometers hurry up, half marathon, whole horse traction
Pine etc.).Wherein, appeal predetermined condition can be but not limited to the combination of following one or more: run duration and similar item
The error of duration be less than scheduled duration, the error of the distance of move distance and similar item is less than preset distance, exercise intensity
It is less than predetermined value with the exercise intensity of similar item.
As a kind of optional embodiment, after the characteristic point in the determining exercise data with target object, the movement
The processing method of track video can also include: that the attribute based on characteristic point in exercise data generates icon；Icon is shown
On the corresponding first node of characteristic point and/or second node.For example, the attribute of features described above point may include: time attribute, away from
From attribute etc..Wherein, in the case where the attribute of characteristic point is the time, which can be the icon for indicating the time, example
Such as, timing tool, clock etc.；In the case where the attribute of this feature point is distance, which can be for for indicating distance
Icon.It, can be by above-mentioned picture presentation in the corresponding first node of characteristic point and/or second node after generating above-mentioned icon
On, generate more meaningful motion profile video so as to be embodied as target object, increase target object movement wish and
Times of exercise.
Embodiment 2
A kind of processing unit of motion profile video is additionally provided according to embodiments of the present invention, it should be noted that this hair
The processing unit of the motion profile video of bright embodiment can be used for executing motion profile video provided by the embodiment of the present invention
Processing method.The processing unit of motion profile video provided in an embodiment of the present invention is introduced below.
Fig. 2 is the schematic diagram of the processing unit of motion profile video according to an embodiment of the present invention, as shown in Fig. 2, the fortune
The processing unit of dynamic track video may include: the first generation unit 21, converting unit 23, determination unit 25 and adding unit
27。
First generation unit 21, for generating motion profile according to the exercise data of target object.
Converting unit 23 is connect with above-mentioned first generation unit 21, is used for motion profile converting motion track video,
In, motion profile video on predetermined map for showing the motion profile of target object.
Determination unit 25 is connect with above-mentioned converting unit 23, for determining characteristic corresponding with target object,
In, characteristic includes at least one of: the characteristic point in music, exercise data.
Adding unit 27 is connect with above-mentioned determination unit 25, for characteristic to be added in motion profile video.
It should be noted that the first generation unit 21 in the embodiment can be used for executing the step in the embodiment of the present invention
Rapid S102, the converting unit 23 in the embodiment can be used for executing the step S104 in the embodiment of the present invention, in the embodiment
Determination unit 25 can be used for executing the step S106 in the embodiment of the present invention, the adding unit 27 in the embodiment can be used
Step S108 in the execution embodiment of the present invention.The example and application scenarios phase that above-mentioned module is realized with corresponding step
Together, but it is not limited to the above embodiments disclosure of that.
It is moved in this embodiment it is possible to be generated first with the first generation unit 21 according to the exercise data of target object
Track；Then utilize converting unit 23 by motion profile converting motion track video, wherein motion profile video is used for predetermined
The motion profile of target object is shown on map；Determination unit 25 is recycled to determine characteristic corresponding with target object,
In, characteristic includes at least one of: the characteristic point in music, exercise data；And utilize adding unit 27 by characteristic
According to being added in motion profile video.Relative to the motion profile video ratio extracted in the related technology according to user movement data
It is more single, and do not include it is some the sense of hearing or the content more intuitively experienced such as visual can be brought to moving user, make
The lower drawback of the experience of moving user is obtained, the processing unit of the motion profile video provided through the embodiment of the present invention can be real
After the exercise data generation motion profile video of moving user, the spy in the exercise data of the moving user is determined
Sign point and the music etc. preferred of the moving user, and the purpose being added in motion profile video, reached to
The technical effect of moving user vision and the intuitional and experiential thinking acoustically, and then solve in the related technology based on moving user number
Technical problem relatively simple according to the motion profile video of generation, causing the experience of user lower, the user experience is improved.
As a kind of optional embodiment, which may include: the first extraction module, for extracting movement
Multiple anchor points in data, wherein multiple anchor points are obtained according to positioning device；First obtains module, for more
A anchor point is analyzed, and the interference positioning obtained in multiple anchor points is fixed；Removing module, for positioning point deletion will to be interfered,
Obtain effective position point；Generation module, for generating motion profile according to effective position point.
In an alternative embodiment, above-mentioned determination unit may include: the first determining module, for determining target pair
The reference data of elephant, wherein reference data is used for as the foundation for obtaining the music being added in motion profile video；Second obtains
Modulus block, for obtaining music corresponding with reference data by Matching Model, wherein Matching Model is to use multi-group data
It is obtained by machine learning training, every group of data in multi-group data include: that reference data is corresponding with the reference data
Music.
Preferably, above-mentioned determination unit may include: receiving unit, for receiving the musical features number of target object input
According to；Third obtains module, for obtaining the corresponding music of target object according to musical features data.
In addition, above-mentioned adding unit may include: the 4th acquisition module, it is used in the case where characteristic is music,
Obtain the corresponding audio file of music；Second extraction module, for extracting the corresponding pure video file of motion profile video；Addition
Module, for audio file to be added in pure video file based on multimedia video processing mode.
In an alternative embodiment, features described above point may include at least one of: the movement number of target object
Movement peak value and the corresponding first node of movement peak value in, the exercise data of target object are more than target object itself
Historical movement peak value second node, wherein movement peak value and historical movement peak value include at least one of: when movement
Between peak value, exercise intensity peak value, historical movement peak value be fortune of the target object in the historical movement data in historical time section
Dynamic peak value.
As a kind of optional embodiment, the processing unit of the motion profile video can also include: the second generation unit,
For after the characteristic point in the determining exercise data with target object, the attribute based on characteristic point in exercise data to generate figure
Mark；Display unit, for showing icon in the corresponding first node of characteristic point and/or second node.
The processing unit of above-mentioned motion profile video includes processor and memory, above-mentioned first generation unit 21, conversion
Unit 23, determination unit 25 and adding unit 27 etc. are stored in memory as program unit, are deposited by processor execution
Above procedure unit in memory is stored up to realize corresponding function.
Include kernel in above-mentioned processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be set
Characteristic is added in motion profile video by one or more by adjusting kernel parameter.
Above-mentioned memory may include the non-volatile memory in computer-readable medium, random access memory
(RAM) and/or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM), memory includes extremely
A few storage chip.
Another aspect according to an embodiment of the present invention, additionally provides a kind of storage medium, and storage medium includes storage
Program, wherein program executes the processing method of any one of above-mentioned motion profile video.
Another aspect according to an embodiment of the present invention additionally provides a kind of processor, and processor is used to run program,
Wherein, the processing method of any one of above-mentioned motion profile video is executed when program is run.
A kind of equipment is additionally provided in embodiments of the present invention, which includes processor, memory and be stored in storage
On device and the program that can run on a processor, processor perform the steps of the movement according to target object when executing program
Data generate motion profile；By motion profile converting motion track video, wherein motion profile video is used in predetermined map
Show the motion profile of target object；Determine corresponding with target object characteristic, wherein characteristic include it is following at least
One of: the characteristic point in music, exercise data；Characteristic is added in motion profile video.
A kind of computer program product is additionally provided in embodiments of the present invention, when being executed on data processing equipment,
It is adapted for carrying out the program of initialization there are as below methods step: motion profile is generated according to the exercise data of target object；It will movement
Track converting motion track video, wherein motion profile video on predetermined map for showing the motion profile of target object；
Determine characteristic corresponding with target object, wherein characteristic includes at least one of: in music, exercise data
Characteristic point；Characteristic is added in motion profile video.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-OnlyMemory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code
Medium.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of processing method of motion profile video characterized by comprising
Motion profile is generated according to the exercise data of target object；
By the motion profile converting motion track video, wherein the motion profile video on predetermined map for showing
The motion profile of the target object；
Determine characteristic corresponding with the target object, wherein the characteristic includes at least one of: music,
Characteristic point in the exercise data；
The characteristic is added in the motion profile video.
2. the method according to claim 1, wherein generating motion profile packet according to the exercise data of target object
It includes:
Extract multiple anchor points in the exercise data, wherein the multiple anchor point is obtained according to positioning device；
The multiple anchor point is analyzed, the interference positioning obtained in the multiple anchor point is fixed；
The interference is positioned into point deletion, obtains effective position point；
The motion profile is generated according to the effective position point.
3. the method according to claim 1, wherein determining that music corresponding with the target object includes:
Determine the reference data of the target object, wherein the reference data is used to be added to the movement rail as acquisition
The foundation of music in mark video；
By Matching Model, music corresponding with the reference data is obtained, wherein the Matching Model is to use multi-group data
It is obtained by machine learning training, every group of data in the multi-group data include: reference data and the reference data pair
The music answered.
4. the method according to claim 1, wherein determining that music corresponding with the target object includes:
Receive the musical features data of the target object input；
The corresponding music of the target object is obtained according to the musical features data.
5., will be described the method according to claim 1, wherein in the case where the characteristic is music
Characteristic is added in the motion profile video
Obtain the corresponding audio file of the music；
Extract the corresponding pure video file of the motion profile video；
The audio file is added in the pure video file based on multimedia video processing mode.
6. the method according to claim 1, wherein the characteristic point includes at least one of: the target
Movement peak value and the corresponding first node of movement peak value in the exercise data of object, the exercise data of the target object
More than the second node of the historical movement peak value of the target object itself, wherein the movement peak value and the historical movement
Peak value includes at least one of: run duration peak value, exercise intensity peak value, and the historical movement peak value is the target pair
As the movement peak value in the historical movement data in historical time section.
7. according to the method described in claim 6, it is characterized in that, determining the spy in the exercise data with the target object
After sign point, further includes:
Attribute based on characteristic point in the exercise data generates icon；
The icon is shown on the corresponding first node of the characteristic point and/or the second node.
8. a kind of processing unit of motion profile video characterized by comprising
First generation unit, for generating motion profile according to the exercise data of target object；
Converting unit is used for the motion profile converting motion track video, wherein the motion profile video is used for pre-
Determine the motion profile that the target object is shown on map；
Determination unit, for determining corresponding with target object characteristic, wherein the characteristic include with down toward
It is one of few: the characteristic point in music, the exercise data；
Adding unit, for the characteristic to be added in the motion profile video.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein described program right of execution
Benefit require any one of 1 to 7 described in motion profile video processing method.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 7 described in motion profile video processing method.
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| CN110086849A (en) * | 2019-03-19 | 2019-08-02 | 北京卡路里信息技术有限公司 | Data processing method and device, system in motion process |
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